Distribution locational marginal pricing (DLMP) is an increasingly popular pricing signal that can be used to incentivize grid-friendly behavior of distributed energy resources (DER) to optimize economic efficiency in distribution grids. In this paper, a
Uvin Liyanapathirane +2 more
doaj +1 more source
New bivariate and multivariate log-normal distributions as models for insurance data
The body of most multivariate financial data sets can be well modeled by log-normal distributions. Yet not many multivariate log-normal distributions are available in the literature.
Saralees Nadarajah, Jiahang Lyu
doaj +1 more source
Encounter Analysis between Strong Wind and Rainstorm of Reservoir Based on Copula Functions
The purpose of this study is to discuss the encounter problem between strong wind and rainstorm in the coastal reservoirs.The Dalongdong Reservoir,located in Taishan of Guangdong Province,was taken as a study case.The P-III,Gamma and GEV functions were ...
CAI Qilin +3 more
doaj
The Bayesian Estimate of Vector Autoregressive Model Parameters Adopt Informative Prior Information
This research included the bayesian estimate for vector Autoregressive model with rank (p) in addition to statistical tests and predict Bayesian when the random error of model followed generalized multivariate modified Bessel distribution.
Haifaa Abdulgawwad Saeed +2 more
doaj +1 more source
Multivariate Escher Transformed Laplace Distribution and Its Generalization
This paper we introduced a new distribution namely the multivariate Esscher transformed Laplace distribution. Various properties of the distribution are studied and the applications are discussed.
H Rimsha, Dais George
doaj +1 more source
Dual Auto-Encoder GAN-Based Anomaly Detection for Industrial Control System
As a core tool, anomaly detection based on a generative adversarial network (GAN) is showing its powerful potential in protecting the safe and stable operation of industrial control systems (ICS) under the Internet of Things (IoT).
Lei Chen +5 more
doaj +1 more source
The value of generalized linear mixed models for data analysis in the plant sciences
Modern data analysis typically involves the fitting of a statistical model to data, which includes estimating the model parameters and their precision (standard errors) and testing hypotheses based on the parameter estimates.
Laurence V. Madden, Peter S. Ojiambo
doaj +1 more source
Simulating the binary variates for the components of a socio - economical system [PDF]
Often in practice the components Wj of a sociological or an economical system W take discrete 0-1 values. We talk about how to generate arbitrary observations from a binary 0-1 system B when is known the multidimensional distribution of the discrete ...
Stefan V. Stefanescu
doaj
Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis
In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge from fully labeled source domain to enhance the fault diagnosis performance in sparsely labeled
Yixiao Liao +4 more
doaj +1 more source
Problem of Existence of Joint Distribution on Quantum Logic
This paper deals with the topics of modeling joint distributions on a generalized probability space. An algebraic structure known as quantum logic is taken as the basic model.
Oľga Nánásiová +2 more
doaj +1 more source

